I am getting an ImportError while using GPTSimpleVectorIndex from the llama-index library. Have installed the latest version of llama-index library and trying to run it on python 3.9. from llama_in...

First and foremost I'm using the latest of Python (==3.11.2) and the most recent version of langchain (==0.0.128). Following the latest docs on DirectoryLoader, the following line should work: from...

I was trying to embed some documents on postgresql with the help of pgvector extension and langchain. Unfortunately I'm having trouble with the following error: (psycopg2.errors.UndefinedObject) ty...

I have been working with langchain's chroma vectordb. It has two methods for running similarity search with scores. vectordb.similarity_search_with_score() vectordb.similarity_search_with_relevanc...

Trying to execute this code: from langchain_community.vectorstores import FAISS Error it is showing: ModuleNotFoundError: No module named 'langchain_community' Thou I have executed the command: pi...

I'm using langchain to process a whole bunch of documents which are in an Mongo database. I can load all documents fine into the chromadb vector storage using langchain. Nothing fancy being done he...

I tried executing a langchain agent. I want to save the output from verbose into a variable, but all I can access from the agent.run is only the final answer. How can I save the verbose output to a...

All of sudden langchain_community & langchain packages started throwing error: TypeError: ForwardRef._evaluate() missing 1 required keyword-only argument: 'recursive_guard' The error getting ge...

Here is the full code. It runs perfectly fine on https://learn.deeplearning.ai/ notebook. But when I run it on my local machine, I get an error about ImportError: Could not import docarray python ...

I'm trying to run a chain in LangChain with memory and multiple inputs. The closest error I could find was was posted here, but in that one, they are passing only one input. Here is the setup: from...

I am following this guide to set up a self-RAG. I am not allowed to use OpenAI models at the moment, so I've been using ChatOllama models instead. I want to pipe outputs using the "with_struct...

I am using Python Flask app for chat over data. In the console I am getting streamable response directly from the OpenAI since I can enable streming with a flag streaming=True. The problem is, that...

import os from langchain.llms import OpenAI import bs4 import langchain from langchain import hub from langchain.document_loaders import UnstructuredFileLoader from langchain.embeddings import Open...

I am trying to put together a simple "Q&A with sources" using Langchain and a specific URL as the source data. The URL consists of a single page with quite a lot of information on it....

I'm creating a conversation like so: llm = ChatOpenAI(temperature=0, openai_api_key=OPENAI_API_KEY, model_name=OPENAI_DEFAULT_MODEL) conversation = ConversationChain(llm=llm, memory=ConversationBuf...

This is how I am defining the executor const executor = await initializeAgentExecutorWithOptions(tools, model, { agentType: 'chat-conversational-react-description', verbose: false, }); Whenever ...

I read the LangChain Quickstart. There is a demo inside: from langchain.llms import OpenAI from langchain.chat_models import ChatOpenAI llm = OpenAI() chat_model = ChatOpenAI() llm.predict("...

I am trying to use a custom embedding model in Langchain with chromaDB. I can't seem to find a way to use the base embedding class without having to use some other provider (like OpenAIEmbeddings o...

I've previously built a pdf searching tool in LangChain which uses the chain.run(input_documents=, question=) syntax to ask the model questions along with context from that pdf. I want to integrate...

I am using the SQL Database Agent to query a postgres database. I want to use gpt 4 or gpt 3.5 models in the OpenAI llm passed to the agent, but it says I must use ChatOpenAI. Using ChatOpenAI thro...

so i recently started to work on chromabd and i am facing this error: "module 'chromadb' has no attribute 'config'" here is my code: from langchain.vectorstores import Chroma from sent...

How does one correctly parse data from load_qa_chain? It is easy to retrieve an answer using the QA chain, but we want the LLM to return two answers, which then parsed by a output parser, PydanticO...

I've searched all over langchain documentation on their official website but I didn't find how to create a langchain doc from a str variable in python so I searched in their GitHub code and I found...

this is my code: import os from dotenv import load_dotenv,find_dotenv load_dotenv(find_dotenv()) print(os.environ.get("OPEN_AI_KEY")) from langchain.llms import OpenAI llm=OpenAI(model_...

i have built a splitter function with langchain library that splits a series of python files. At another point in the code I need to convert these documents back into python code. Only I do not kno...